Stochastic Optimal Control (SOC)-a mathematical theory concerned
with minimizing a cost (or maximizing a payout) pertaining to a
controlled dynamic processunder uncertainty-has proven incredibly
helpful to understanding and predicting debt crises and evaluating
proposed financial regulation and risk management."Stochastic
Optimal Control and the U.S. Financial Debt Crisis"analyzes SOC in
relation to the 2008 U.S. financial crisis, and offers a detailed
framework depicting why such a methodology is best suited for
reducing financial risk and addressing key regulatory issues.
Topics discussed include the inadequacies of the current approaches
underlying financial regulations, the use of SOC to explain debt
crises and superiority over existing approaches to regulation, and
the domestic and international applications of SOC to financial
crises. Principles in this book will appeal to economists,
mathematicians, and researchers interested in the U.S. financial
debt crisis and optimal risk management."
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